A self-organizing network operation control method for new energy stations considering maximum power point

Abstract

The present invention relates to the field of power control for new energy stations and discloses a method for controlling the self-organizing network operation of new energy stations taking into account the maximum power point. The control portion comprises a maximum power point adaptive algorithm module, a multi-agent consensus algorithm module, and a self-synchronizing voltage source algorithm module. The disclosed method enables the active output of multiple self-synchronizing voltage sources of new energy to be proportional to the actual output capacity of the units under the maximum power point constraint, thus meeting the requirements for stable frequency and voltage operation in a network of multiple self-synchronizing voltage sources of new energy.

Description

Technical Field

[0001] The present invention relates to the field of power control of new energy stations, and in particular to a method for controlling self-organizing network operation of new energy stations taking into account a maximum power point. Background Art

[0002] Due to the randomness, intermittency, and volatility of photovoltaic and wind power, there are many new problems that are different from traditional power generation forms. These two types of renewable energy generation have received widespread attention and research. The location dispersion and energy volatility of renewable energy make it impossible to generate electricity on a centralized scale. Distributed Generation (DG) technology has become a solution for managing renewable energy with its flexible power generation methods, high efficiency, and environmental protection. Microgrid self-organizing networks are a promising way to utilize distributed power generation. New power systems with a high proportion of renewable energy and a high proportion of power electronic equipment have been formed. The construction of new energy microgrids is an effective way to deal with new power systems. As the scale of high-penetration renewable energy power generation continues to expand, the reduction of synchronous generators will inevitably lead to a gradual decrease in the inertia and damping of the power system, which in turn brings about power stability issues. Self-synchronous voltage source control is an effective means to improve the active support capacity of renewable energy for the power grid.

[0003] Renewable energy sources like photovoltaics are characterized by randomness and intermittence, and the output power of renewable energy units is affected by the external environment and load. To ensure efficient utilization of photovoltaic energy under diverse operating conditions, maximum power point tracking (MPPT) control technology has been widely adopted as a promising solution. The output power of photovoltaic cells is a nonlinear function of factors such as ambient temperature and solar radiation intensity. Under the same external conditions, a photovoltaic cell has a unique maximum power output point. The maximum power point of distributed photovoltaic power generation varies at different times of the day, resulting in different outputs for the photovoltaic power station.

[0004] Various control algorithms have been proposed for microgrid coordinated control. For example, Chinese Patent Publication No. CN112701729B discloses a distributed coordinated control system and method for microgrids based on edge computing. This method utilizes communication and multiple edge computing nodes to transmit control decision commands derived from secondary control to the droop control of the microgrid's direct generator (DG), achieving synchronous stabilization of the microgrid's frequency to a reference value. Existing research on unit power control often allocates power based on the rated capacity of the units. For example, Chinese Patent Publication No. CN108448597B discloses a microgrid power balancing and circulating current suppression control method based on distributed coordinated control. This method designs primary and secondary control layers to implement distributed control of multiple inverters for power sharing and circulating current suppression. However, this power allocation method does not consider whether the output of the renewable energy power station can reach its rated capacity or be consistent with its rated capacity in real-world conditions. To achieve more realistic system power control for distributed renewable energy power stations, a power coordination control method that incorporates maximum power point information into the control strategy is required. In island mode, based on load demand, multiple distributed renewable energy sources output active power in a reasonable ratio of their maximum power to supply the load. Affected by the external environment, there is a situation where the rated power is large but the maximum power point is low. Therefore, considering the actual new energy application scenario, it is necessary to redesign the power control to optimize the active output of the multi-self-synchronous voltage source. Summary of the Invention

[0005] In response to the shortcomings of existing power control methods, the purpose of the present invention is to provide a self-organizing network operation control method for new energy stations taking into account the maximum power point. The method provided by the present invention can achieve the reasonable output of active power of each unit according to the actual maximum power output under the isolated operation of the new energy AC microgrid, the reasonable output of reactive power according to the equipment capacity, the rated output frequency, and the average value of the output voltage amplitude reaching the rated value, providing guidance for the safe and stable operation of the microgrid group.

[0006] To achieve the above technical goals, the present invention proposes a new energy station self-organizing network operation control method taking into account the maximum power point, the main parts of which include a maximum power point adaptive algorithm, a multi-agent consensus algorithm and a self-synchronous voltage source algorithm.

[0007] The maximum power point adaptive algorithm is composed of the adaptive coefficient k, which is based on the actual maximum active output P of the distributed new energy. MPPT Occupies the rated capacity of the unit P′ ref The ratio of rated active power to frequency droop coefficient D pref The adaptive coefficient k is determined by multiplying the rated capacity P' ref The droop coefficient D pref For reference, the weight coefficient change of the consistency algorithm can be reduced to a certain extent. The expression of the adaptive coefficient k is

[0008]

[0009] In a multi-self-synchronous voltage source system, each unit has the same output frequency during steady-state operation. Therefore, active frequency control enables active power distribution among the self-synchronous voltage sources in proportion to their equipment capacity. However, line impedance results in different output voltages among the units, leading to errors in reactive power distribution. To overcome the impact of line impedance on power distribution and compensate for voltage and frequency deficiencies, a multi-agent consensus algorithm is introduced. When voltages at all points in the AC microgrid are controlled at rated values, reactive power distribution can be altered by changing the voltage phase angle. However, the regulation of both active and reactive power in the system relies on changes in the voltage phase angle, which degrades the system's regulation performance and makes it prone to instability in the event of large power disturbances. Therefore, the control objectives of the multi-agent consensus algorithm are to restore the average bus voltage to the rated value, ensure proper active and reactive power output, and restore the frequency to the rated value.

[0010] The specific implementation process of the multi-agent consensus algorithm:

[0011] The consistent frequency control under the maximum output power constraint is realized according to the consistency algorithm, by exchanging the active power P of the adjacent units i and j of the new energy multi-self-synchronous voltage source. i and P j And the intermediate variable γ introduced in the consensus algorithm pi and γ pj , the nodes that have communication connections with node i form a set N i , through the weight coefficient a p 、b p 、c p The active power control and frequency recovery control are combined to obtain the secondary frequency control signal ω pi The consistent frequency control taking into account the maximum power point output uses the adaptive coefficient k calculated by formula (1) to normalize the active power and uses the normalized active power as the consistent control target. Considering the reasonable output under the maximum power constraint, the original control has achieved the rated output of the frequency. Therefore, the active control part is improved and the adaptive coefficient is used to replace the original droop coefficient. The consistent frequency control taking into account the maximum power output is expressed as

[0012]

[0013] The consistency voltage control unit includes reactive power consistency control and voltage recovery control. The normalized reactive power Q and intermediate variable γ are performed between two adjacent communication units. q The communication expression is

[0014]

[0015] The specific implementation process of self-synchronous voltage source control includes:

[0016] The power calculation unit is realized based on the instantaneous power theory, and the collected three-phase voltage and current signals v abc and i abc After PARK transformation to dq coordinate system, we get v dq and i dq , then use the instantaneous power theory to calculate and pass the cutoff frequency ω c After low-pass filtering, the active power P and reactive power Q output by the inverter are obtained. The instantaneous power calculation expression is:

[0017]

[0018] The active frequency loop control unit simulates the inertia and primary frequency modulation characteristics of the synchronous generator. The mathematical expression of the active frequency loop is determined according to the rotor motion equation of the synchronous generator. The active power P calculated by formula (4) is used as input and the synchronous phase θ is used as output. Under the maximum power output constraint, the secondary frequency control obtained by formula (2) is superimposed on the active frequency control unit of the self-synchronous voltage source algorithm, and the expression is:

[0019]

[0020] Among them, P ref is the reference value of active power; P is the electromagnetic power; D p is the active frequency droop coefficient; ω is the angular frequency of the self-synchronous voltage source; ω n is the rated angular frequency; J is the virtual moment of inertia.

[0021] The reactive voltage loop control unit simulates the primary voltage regulation characteristics of the synchronous generator, with the reactive power calculated by formula (4) as input, the output voltage as feedback, and the reference voltage as output. The secondary voltage control u obtained by formula (3) is q Superimposed on the reactive voltage control unit of the self-synchronous voltage source algorithm, the expression is

[0022]

[0023] Among them, Q ref is the reference value of reactive power; Q is the output reactive power; D q is the reactive voltage droop coefficient; V om is the output voltage amplitude; V n is the rated voltage amplitude.

[0024] The reference voltage generating unit is calculated by the phase θ obtained by formula (5) and the amplitude E calculated by formula (6). m Composition, the reference voltage e can be obtained abc The expression is

[0025]

[0026] The virtual impedance control unit simulates the armature resistance r of the synchronous generator a and synchronous inductor L d Stator electrical characteristics of the synchronous motor. abc , stator current and terminal voltage v abc The relationship between determines the control equation of the unit, which is expressed as

[0027]

[0028] The current loop control unit is in the dq coordinate system. After the difference between the inductor current reference signal calculated by formula (8) and the actual inductor current is controlled by PI, the dq axis component of the output voltage is superimposed. Considering the control method of dq component decoupling, the expression is:

[0029]

[0030] in, is the modulation signal of SVPWM drive control, is the current loop reference value obtained by the previous stage virtual impedance control, i ldq is the dq axis component of the filter inductor current of the LC filter, v dq is the dq axis component of the inverter output voltage, L f is the filter inductance value of the LC filter, k pi and k ii is the control parameter of the current loop PI controller.

[0031] According to another aspect of the present invention, the present invention provides a device, comprising: one or more processors; a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors execute a new energy station self-organizing network operation control method taking into account the maximum power point as described above.

[0032] According to another aspect of the present invention, the present invention provides a computer-readable storage medium storing a computer program, characterized in that when the program is executed by a processor, it implements a new energy station self-organizing network operation control method taking into account the maximum power point as described above.

[0033] Beneficial effects of the present invention:

[0034] This self-organizing network operation control method for new energy stations taking into account the maximum power point takes into account the constraint of actual maximum power output, optimizes the droop coefficient by the ratio of maximum output power to rated power, and normalizes the active power as the control coefficient in the multi-agent consensus algorithm. The secondary control quantity obtained by the multi-agent consensus algorithm is superimposed on the power outer loop of the self-synchronous voltage source algorithm. Under the constraint of actual maximum output power, the self-synchronous voltage source algorithm outputs a modulation signal, which drives the inverter switch tube on and off through pulse width modulation, thereby realizing coordinated control of the network operation of new energy multiple self-synchronous voltage sources taking into account the maximum power point. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the existing solutions, the following briefly introduces the drawings required for use in the embodiments or the existing descriptions. Obviously, for ordinary personnel in this field, other drawings can be obtained based on these drawings without any creative work.

[0036] Figure 1 This is a schematic diagram of the electrical connection and ring communication of an AC microgrid according to an embodiment of the present invention;

[0037] Figure 2 A schematic diagram of a circuit topology and inverter control method of an inverter system according to an embodiment of the present invention;

[0038] Figure 3 This is a block diagram of an active power-frequency secondary controller in an inverter control method according to an embodiment of the present invention;

[0039] Figure 4 This is a block diagram of a reactive-voltage secondary controller in an inverter control method according to an embodiment of the present invention;

[0040] Figure 5 This is a block diagram of an active frequency loop control unit in an inverter control method according to an embodiment of the present invention;

[0041] Figure 6 This is a block diagram of a reactive voltage loop control unit in an inverter control method according to an embodiment of the present invention;

[0042] Figure 7 This is a diagram showing the active output results of multiple self-synchronous voltage sources according to an embodiment of the present invention;

[0043] Figure 8 This is a diagram showing the reactive output results of multiple self-synchronous voltage sources according to an embodiment of the present invention;

[0044] Figure 9 This is a diagram showing the frequency output results of multiple self-synchronous voltage sources according to an embodiment of the present invention;

[0045] Figure 10 This is a diagram showing the voltage output results of multiple self-synchronous voltage sources according to an embodiment of the present invention;

[0046] Figure 11 FIG. 1 is a diagram showing voltage offset results of multiple self-synchronous voltage sources according to an embodiment of the present invention.

[0047] The main symbols and designations of the above drawings: P e1 ~P e4 : Output active power; Q e1 ~Q e4 : output reactive power; f1~f4: output frequency; V1~V4: output voltage amplitude; V average : Average value of output voltage amplitude; ΔV1%~ΔV4%: Output voltage deviation rate. DETAILED DESCRIPTION

[0048] The following will be combined with the accompanying drawings to clearly and completely describe the solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without making creative efforts are within the scope of protection of the present invention.

[0049] See also Figure 1-11 In this embodiment, the electrical connection and communication connection of the new energy AC microgrid are as follows: Figure 1 Each unit has a local load, and the impedance value is Z loadi (i=1,2,3,4); Each unit is connected through line linei(i+1), (i=1,2,3); DGi(i=1,2,3,4) represents the i-th distributed generation unit, AC bus i(i=1,2,3,4) represents the AC bus of the i-th distributed unit, i oi (i=1,2,3,4) is the output current of the i-th distributed generation unit, i loadi (i=1,2,3,4) is the local load current of the i-th distributed generation unit, i linei(i+1) , (i=1,2,3) is the line current of the i-th and i+1-th distributed generation units; the four self-synchronous voltage source units communicate in a ring manner.

[0050] Single self-synchronous voltage source circuit topology and control method Figure 2 As shown, the DC side can be regarded as a DC source with constant voltage. The DC-AC conversion is realized by a three-phase full-bridge inverter circuit composed of 6 IGBTs. The current output by the bridge arm is connected to the load after LC filtering. labc is the inductor current, v abc is the output voltage, i abc is the output current, v iabc and v jabcRepresent the output voltages of the i-th inverter and the j-th inverter, respectively. In the inverter control section, the sampled output voltage and current signals undergo PARK transformation and serve as the input to the power calculation unit. The active and reactive powers of the inverter output are calculated using the instantaneous power theory and low-pass filtered. The calculated power is controlled by a self-synchronous voltage source, including active frequency loop control and reactive voltage loop control, to obtain the amplitude and phase information required by the voltage reference generation module. The difference between the generated reference voltage and the actual output voltage is applied to the virtual impedance to generate a reference inductor current signal. This signal is then subjected to PI control with the actual inductor current in the dq rotating coordinate system to generate a modulation signal. The controller output undergoes inverse coordinate transformation and space vector modulation (SVPWM) to drive the IGBT.

[0051] The main parameter values of this embodiment are as follows: DC bus voltage V dc =700V, filter inductor L f =0.15mH, filter capacitor C f =600uF, damping resistor R d =0.2Ω, line resistance R = 0.2Ω, line inductance L = 0.1mH, AC bus voltage amplitude AC bus voltage angular frequency ω n =100πrad / s, inverter switching frequency f s =3.2kHz, current loop control proportional coefficient k pi =0.64, current loop control integral coefficient k ii =100.

[0052] In the embodiment, DG1 and DG4 are set to be units with the same rated capacity of 500kW, and DG2 and DG3 are set to be units with the same rated capacity of 250kW. Each of the four distributed generation units carries a load with an impedance of 0.2Ω and 2mH. In order to simulate the conditions of different lines, the line parameters are set to Z line12 =0.1+j0.157Ω, Z line23 =0.2+j0.314Ω, Z line34 =0.3+j0.471Ω. Control parameters of DG1 and DG4: Active power droop coefficient D p1 =D p4 =79442, moment of inertia J1=J4=0.3, power filter cutoff frequency f c =30Hz, reactive power droop coefficient D q1 =D q4 =20000, excitation coefficient K1=K4=318; control parameters of DG2 and DG3: D p2 =D p3 =39721, J2=J3=0.15, Dq2 =D q3 =10000, K2=K3=159. Virtual resistance value r a =0.01Ω, virtual inductance value L d =150uH, active power reference value P ref =0, reactive power reference value Q ref =0, weight coefficient a p =50,b p =0,c p =50,a q =50,b q =20, c q =50, reference power P′ ref =500kW, reference droop coefficient D pref =79442.

[0053] According to the mathematical expression of the consistency algorithm, we can get Figure 3 The block diagram of the active power-frequency secondary controller shown in Figure 4 The block diagram of the reactive-voltage secondary controller is shown in Figure 2. Secondary control quantity u p Superimposed on the frequency output end of the self-synchronous voltage source active frequency loop control, such as Figure 5 ; Secondary control quantity u q Superimposed on the voltage reference input of the self-synchronous voltage source reactive voltage loop, such as Figure 6 The power control taking the maximum power output into account is reflected in the normalized active power in the active power-frequency secondary control, and the maximum power output adaptive coefficient is used for power normalization calculation.

[0054] During the simulation time of 0 to 2 seconds, the system uses self-synchronous voltage source control. Multi-agent consensus control is added at 2 seconds. From 2 to 12 seconds, the maximum power variation over the course of a day, as light intensity and ambient temperature change, is simulated. This is a simple simulation; the actual power variation rate is relatively small. To better observe the difference in control effects between actual and rated output, the maximum output of each unit is assumed to have reached its rated power point during the 5 to 8 seconds. The simulation sets the maximum power output at different times to be inconsistent to simulate the changes in the maximum power point of each unit. The maximum power point changes of DG1 (rated capacity 500kW) are: 100kW (2~5s), 500kW (5~8s), 200kW (8~12s); the maximum power point changes of DG2 (rated capacity 250kW) are: 200kW (2~5s), 250kW (5~8s), 100kW (8~12s); the maximum power point changes of DG3 (rated capacity 250kW) are: 100kW (2~5s), 250kW (5~8s), 200kW (8~12s); the maximum power point changes of DG4 (rated capacity 500kW) are: 300kW (2~5s), 500kW (5~8s), 200kW (8~12s).

[0055] Conduct simulation experiments and obtain Figure 7 Active output result diagram of multiple self-synchronous voltage sources, Figure 8 Reactive output result diagram of multiple self-synchronous voltage sources, Figure 9 Frequency output result diagram of multiple self-synchronous voltage sources, Figure 10 Voltage output result diagram of multiple self-synchronous voltage sources, Figure 11 The voltage offset result diagram of multiple self-synchronous voltage sources. From the simulation results, we can see that from 0 to 2s, DG1 (DG4) outputs 56kW of active power, and DG2 (DG3) outputs 28kW of active power. At this time, the active output is distributed according to the ratio of the rated capacity of the equipment 2:1; from 2 to 5s, DG1 outputs 26.8kW of active power, DG2 outputs 53.6kW of active power, DG3 outputs 26.8kW of active power, and DG4 outputs 80.4kW of active power. At this time, the active output ratio of DG1 to DG4 is 1:2:1:3, and the active output is 2:1. The output meets the maximum power ratio. From 5 to 8 seconds, DG1 and DG4 achieve an active power output of 61.8 kW, while DG2 and DG3 achieve an active power output of 30.9 kW. At this point, the active power output of each unit is 2:1:1:2, meeting the maximum power ratio. From 8 to 12 seconds, DG1, DG3, and DG4 achieve an active power output of 53 kW, while DG2 achieves 26.5 kW. At this point, the active power output ratio of DG1 to DG4 is 2:1:2:2, meeting the maximum power ratio. In steady state, active power output is appropriately output according to the ratio of the maximum power points.

[0056] The simulation results show that from 0 to 2 seconds, DG1 outputs reactive power of 139 kVar, DG2 outputs reactive power of 124.8 kVar, DG3 outputs reactive power of 131 kVar, and DG4 outputs reactive power of 132.5 kVar. Due to the influence of line impedance, the reactive power output is unreasonable. After 2 seconds, multi-agent consistency control is added, DG1 and DG4 output reactive power of 193.3 kVar, and DG2 and DG3 output reactive power of 96.65 kVar. At this time, the reactive output ratio is 2:1, and the reactive power is output according to the rated capacity ratio.

[0057] In this case, the maximum power point has a large rate of change, resulting in an attenuated oscillation phenomenon near the maximum power point mutation. In reality, the temperature and light intensity change slowly throughout the day, so the maximum power point also changes gradually. Simulation also verifies that the active output under the slowly changing maximum power point is output smoothly at the moment of change, and no oscillation occurs. Affected by the maximum power point switching, there are short-term fluctuations in the reactive output. In steady state, the frequency output of each synchronous voltage source reaches the rated value of 50Hz, and the amplitude of the output voltage of each synchronous voltage source changes with the change of different maximum power points, but the average value of the output voltage amplitude of the multiple self-synchronous voltage sources is The expected control effect was achieved. The simulation results verified that the output power of multiple self-synchronous voltage sources can be reasonably distributed using the multi-agent consensus algorithm that takes maximum power output into account. Specifically, active power is output according to the maximum power ratio, reactive power is output according to the rated capacity ratio, and frequency and average voltage are restored to rated values. Figure 11 The deviations of the output voltages of the respective synchronous voltage sources were calculated, and both met the requirements of the microgrid voltage fluctuation.

Claims

1. A method for controlling the operation of a new energy station self-organizing network taking into account the maximum power point, characterized in that: The method comprises the following three steps: Determining an adaptive coefficient according to a maximum power point adaptive algorithm; The adaptive coefficient normalizes the active power and uses the normalized active power as the consistency control target of the multi-agent consensus algorithm; The secondary control variable output by the multi-agent consensus algorithm acts on the power outer loop control of the self-synchronous voltage source algorithm; The adaptive coefficient is determined according to the maximum power point adaptive algorithm. The maximum power point adaptive algorithm is based on the actual maximum active output P of the distributed new energy. MPPT Occupies the rated capacity of the unit P′ ref The ratio of rated active power to frequency droop coefficient D pref The product of determines the adaptive coefficient k; The expression of the adaptive coefficient k is: The quadratic frequency control ω output by the consensus frequency control unit under the maximum output power constraint of the multi-agent consensus algorithm p Superimposed on the active frequency control unit of the self-synchronous voltage source algorithm, the secondary voltage control unit outputs the consistent voltage control u q Superimposed on the reactive voltage control unit of the self-synchronous voltage source algorithm, the power outer loop expression of the self-synchronous voltage source algorithm taking into account the maximum power constraint is: Among them, P ref is the reference value of active power, P is the electromagnetic power, D p is the active frequency droop coefficient, ω is the angular frequency of the self-synchronous voltage source, ω n is the rated angular frequency, J is the virtual moment of inertia; Q ref is the reference value of reactive power; Q is the output reactive power; D q is the reactive voltage droop coefficient; V om is the output voltage amplitude; V n is the rated voltage amplitude.

2. The method for controlling the operation of a new energy station self-organizing network taking into account the maximum power point according to claim 1, characterized in that: The multi-agent consensus algorithm consists of a consistency frequency control unit and a consistency voltage control unit under the maximum output power constraint.

3. The method for controlling the operation of a new energy station self-organizing network taking into account the maximum power point according to claim 2, characterized in that: The consensus frequency control under the maximum output power constraint of the multi-agent consensus algorithm is achieved by exchanging the active power P of the adjacent units i and j of the new energy multi-self-synchronous voltage source. i and P j And the intermediate variable γ introduced in the consensus algorithm pi and γ pj , the nodes that have communication connections with node i form a set N i , through the weight coefficient a p 、b p 、c p The active power control and frequency recovery control are combined to obtain the secondary frequency control signal ω pi .

4. The method for controlling the operation of a new energy station self-organizing network taking into account the maximum power point according to claim 3, characterized in that: The consistent frequency control considering the maximum power point output uses the adaptive coefficient k obtained by the maximum power point adaptive algorithm to normalize the active power, and uses the normalized active power as the consistency control target. The consistent frequency control under the maximum output power constraint can be expressed as Among them, ω pi is the secondary frequency control signal of the i-th unit, P i and P j are the active powers of adjacent generators i and j of the self-synchronous voltage source, γ pi and γ pj is the intermediate variable introduced in the active consistency algorithm, k i and k j are the adaptive coefficients corresponding to the i-th and j-th units, D pi is the active frequency droop coefficient of the i-th unit, a p 、b p and c p is the active frequency control weight coefficient; The consistency voltage control unit includes reactive power consistency control and voltage recovery control, and normalized reactive power is performed between two adjacent communication units. and the intermediate variable γ q The communication expression is Among them, u qi is the secondary voltage control signal, Q i and Q j are the reactive powers of the adjacent generators i and j of the self-synchronous voltage source, γ qi and γ qj is the intermediate variable introduced in the reactive consistency algorithm, D qi is the reactive voltage droop coefficient of the i-th unit, a q 、b q and c q is the reactive voltage control weight coefficient.

5. The method for controlling the operation of a new energy station self-organizing network taking into account the maximum power point according to claim 1, characterized in that: The self-synchronous voltage source algorithm outputs a modulation signal under the actual maximum output power constraint, which drives the inverter switch tube on and off through pulse width modulation, thereby achieving the control purpose of coordinated control of the network operation of multiple self-synchronous voltage sources of new energy under the actual maximum active output.

6. A device, characterized in that The device includes: one or more processors; a memory for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors execute a new energy station self-organizing network operation control method taking into account the maximum power point as described in any one of claims 1-5.

7. A computer-readable storage medium storing a computer program, characterized in that: When the program is executed by a processor, a self-organizing network operation control method for a new energy station taking into account the maximum power point is implemented as described in any one of claims 1 to 5.

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